# algebra

Causal inference on DAGs
Confounding! This scientist performed a miracle graph surgery intervention and you won’t believe what happened next
2016-10-26
– 2021-12-18
Learning with conservation laws, invariances and symmetries
2020-04-11
– 2021-12-15
Causality via potential outcomes
Neyman-Rubin, counterfactuals, conditional treatment effects, instrumental variables and related tricks
2016-10-26
– 2021-12-10
Causal inference in highly parameterized ML
2020-09-18
– 2021-12-10
Message-passing algorithms in graphical models
2014-11-25
– 2021-12-08
Random rotations
2021-05-18
– 2021-12-01
Jax
Julia for python
2020-09-15
– 2021-11-29
Visualising probabilistic graphical models
Also related models, such as Neural nets
2018-03-29
– 2021-11-24
External validity
Transfer learning, dataset shift, learning under covariate shift, transferable learning, domain adaptation etc
2020-10-17
– 2021-11-03
Interaction effects are probably what we want to estimate
2022-01-25
– 2021-10-28
Random graphical models
Causality in amongst confusion
2021-10-26
– 2021-10-28
Spectral graph theory
Linear signals on graphs
2014-11-24
– 2021-10-27
Graph neural nets
2020-09-16
– 2021-10-27
Fun with rotational symmetries
2021-01-29
– 2021-10-14
Neural music synthesis
2016-01-15
– 2021-10-14
Fun with determinants
Especially Jacobian determinants
2011-04-06
– 2021-10-12
Mathematica
2011-04-06
– 2021-10-08
Multilinear algebra
Outer products, tensors, einstein summation
2021-10-08
The Gaussian distribution
The probability distribution that you give up and use in the end
2016-06-27
– 2021-10-03
Numerical PDE solvers
2016-03-01
– 2021-10-02
Orthonormal and unitary matrices
Energy preserving operators, generalized rotations
2019-10-22
– 2021-09-22
Arpeggiate by numbers
Workaday automatic composition and sequencing
2015-01-07
– 2021-09-20
Automatic differentiation in Julia
2016-07-27
– 2021-08-27
Automatic differentiation
2016-07-27
– 2021-08-05
Algebraic probability
If you liked it then you prob’ly put a ring on it
2017-06-15
– 2021-06-24
Isotropic random vectors
2011-08-10
– 2021-05-24
Randomized low dimensional projections
2021-03-12
– 2021-05-24
Computational symbolic mathematics
Cheating at calculus exams
2016-10-13
– 2021-05-11
Causal inference in the continuous limit
2021-02-17
Partial differential equations
2021-01-27
– 2021-02-01
Tensor decompositions
2016-08-15
– 2020-11-19
Tensor regression
2020-11-19
Efficient factoring of GP likelihoods
2020-10-16
– 2020-10-26
Independence, conditional, statistical
2016-04-21
– 2020-09-13
Causal graphical model reading group 2020
An introduction to conditional independence DAGs and their use for causal inference.
2020-08-30
– 2020-09-03
Causal Bayesian networks
Staged tree models, probability trees …Causlan Bayesian networks
2020-11-01
– 2020-09-01
Mathematics of textiles
2019-10-14
– 2020-08-20
Matrix calculus
2018-07-09
– 2020-05-19
MAPLE
An OK computer algebra system
2020-05-19
Directed graphical models
2017-09-20
– 2020-05-13
Learning graphical models from data
What is independent of what?
2017-09-20
– 2020-04-11
Analysis/resynthesis of audio
2016-01-15
– 2020-04-09
Conditional expectation and probability
2020-02-04
(Reproducing) kernel tricks
2014-08-18
– 2020-01-20
Factor graphs
2019-12-16
Audio source separation
2019-11-04
– 2019-11-26
Tunings
2015-10-29
– 2019-11-18
Inference on graphical models
Given what I know about what I know, what do I know?
2017-09-20
– 2019-10-28
Undirected graphical models
2017-09-20
– 2019-10-28
Inner product spaces
The most highly developed theory of squaring things
2019-01-01
– 2019-02-11
Normed spaces
2019-01-01
– 2019-01-04
Linear algebra
If the thing is twice as big, the transformed version of the thing is also twice as big. {End}
2011-04-06
– 2018-08-07
Probabilistic graphical models
Cleaving reality at the joint
2014-08-05
– 2017-09-11
Musical metrics and manifolds
2014-09-26
– 2017-03-27
Functional equations
Putting the funk in functions
2017-02-06
– 2017-02-19
Differential geometry, geometric algebra etc
2014-11-27
– 2016-10-13
Kernel approximation
2016-07-27
Matrix norms, divergences, metrics
2016-06-03
– 2016-06-15
Category theory
2011-11-25
– 2016-04-18
Coarse graining
2014-11-11
– 2015-12-02
Elliptical distributions
2015-06-23
Sigma algebras, probability spaces, measure theory
The scaffolding of randomness
2015-06-20
Algebra I would like to learn
2014-10-15
– 2014-11-22